




'''simple docstring'''



import copy
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowerCamelCase_									=		logging.get_logger(__name__)

lowerCamelCase_									=		{
    """microsoft/conditional-detr-resnet-50""": (
        """https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json"""
    ),
}







class 						lowercase_       (					UpperCAmelCase__  ):


   """simple docstring"""

   lowerCamelCase_							    =		'''conditional_detr'''
   lowerCamelCase_							    =		['''past_key_values''']
   lowerCamelCase_							    =		{
       '''hidden_size''': '''d_model''',
       '''num_attention_heads''': '''encoder_attention_heads''',
   }



   def __init__(       self   :      Tuple    , __lowerCamelCase   :      Optional[Any]=True    , __lowerCamelCase   :      Dict=None    , __lowerCamelCase   :      List[Any]=3    , __lowerCamelCase   :      Union[str, Any]=3_0_0    , __lowerCamelCase   :      Optional[Any]=6    , __lowerCamelCase   :      Any=2_0_4_8    , __lowerCamelCase   :      List[str]=8    , __lowerCamelCase   :      Tuple=6    , __lowerCamelCase   :      Union[str, Any]=2_0_4_8    , __lowerCamelCase   :      Optional[Any]=8    , __lowerCamelCase   :      str=0.0    , __lowerCamelCase   :      int=0.0    , __lowerCamelCase   :      Optional[int]=True    , __lowerCamelCase   :      List[Any]="relu"    , __lowerCamelCase   :      List[Any]=2_5_6    , __lowerCamelCase   :      List[Any]=0.1    , __lowerCamelCase   :      Optional[Any]=0.0    , __lowerCamelCase   :      str=0.0    , __lowerCamelCase   :      int=0.0_2    , __lowerCamelCase   :      List[str]=1.0    , __lowerCamelCase   :      Optional[Any]=False    , __lowerCamelCase   :      str="sine"    , __lowerCamelCase   :      Tuple="resnet50"    , __lowerCamelCase   :      List[Any]=True    , __lowerCamelCase   :      Any=False    , __lowerCamelCase   :      Any=2    , __lowerCamelCase   :      Optional[int]=5    , __lowerCamelCase   :      Optional[int]=2    , __lowerCamelCase   :      List[Any]=1    , __lowerCamelCase   :      Union[str, Any]=1    , __lowerCamelCase   :      int=2    , __lowerCamelCase   :      str=5    , __lowerCamelCase   :      Optional[Any]=2    , __lowerCamelCase   :      int=0.2_5    , **__lowerCamelCase   :      Optional[Any]    , ):

      """simple docstring"""
      if backbone_config is not None and use_timm_backbone:
         raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`."       )

      if not use_timm_backbone:
         if backbone_config is None:
            logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."       )
            _SCREAMING_SNAKE_CASE			= CONFIG_MAPPING["resnet"](out_features=["stage4"]       )
         elif isinstance(_a    , _a       ):
            _SCREAMING_SNAKE_CASE			= backbone_config.get("model_type"       )
            _SCREAMING_SNAKE_CASE			= CONFIG_MAPPING[backbone_model_type]
            _SCREAMING_SNAKE_CASE			= config_class.from_dict(_a       )

      _SCREAMING_SNAKE_CASE			= use_timm_backbone
      _SCREAMING_SNAKE_CASE			= backbone_config
      _SCREAMING_SNAKE_CASE			= num_channels
      _SCREAMING_SNAKE_CASE			= num_queries
      _SCREAMING_SNAKE_CASE			= d_model
      _SCREAMING_SNAKE_CASE			= encoder_ffn_dim
      _SCREAMING_SNAKE_CASE			= encoder_layers
      _SCREAMING_SNAKE_CASE			= encoder_attention_heads
      _SCREAMING_SNAKE_CASE			= decoder_ffn_dim
      _SCREAMING_SNAKE_CASE			= decoder_layers
      _SCREAMING_SNAKE_CASE			= decoder_attention_heads
      _SCREAMING_SNAKE_CASE			= dropout
      _SCREAMING_SNAKE_CASE			= attention_dropout
      _SCREAMING_SNAKE_CASE			= activation_dropout
      _SCREAMING_SNAKE_CASE			= activation_function
      _SCREAMING_SNAKE_CASE			= init_std
      _SCREAMING_SNAKE_CASE			= init_xavier_std
      _SCREAMING_SNAKE_CASE			= encoder_layerdrop
      _SCREAMING_SNAKE_CASE			= decoder_layerdrop
      _SCREAMING_SNAKE_CASE			= encoder_layers
      _SCREAMING_SNAKE_CASE			= auxiliary_loss
      _SCREAMING_SNAKE_CASE			= position_embedding_type
      _SCREAMING_SNAKE_CASE			= backbone
      _SCREAMING_SNAKE_CASE			= use_pretrained_backbone
      _SCREAMING_SNAKE_CASE			= dilation
      # Hungarian matcher
      _SCREAMING_SNAKE_CASE			= class_cost
      _SCREAMING_SNAKE_CASE			= bbox_cost
      _SCREAMING_SNAKE_CASE			= giou_cost
      # Loss coefficients
      _SCREAMING_SNAKE_CASE			= mask_loss_coefficient
      _SCREAMING_SNAKE_CASE			= dice_loss_coefficient
      _SCREAMING_SNAKE_CASE			= cls_loss_coefficient
      _SCREAMING_SNAKE_CASE			= bbox_loss_coefficient
      _SCREAMING_SNAKE_CASE			= giou_loss_coefficient
      _SCREAMING_SNAKE_CASE			= focal_alpha
      super().__init__(is_encoder_decoder=_a    , **_a       )



   @property
   def 				lowerCAmelCase_     (       self   :      List[str]       ):

      """simple docstring"""
      return self.encoder_attention_heads



   @property
   def 				lowerCAmelCase_     (       self   :      Any       ):

      """simple docstring"""
      return self.d_model



   def 				lowerCAmelCase_     (       self   :      Optional[Any]       ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE			= copy.deepcopy(self.__dict__       )
      if self.backbone_config is not None:
         _SCREAMING_SNAKE_CASE			= self.backbone_config.to_dict()
      _SCREAMING_SNAKE_CASE			= self.__class__.model_type
      return output







class 						lowercase_       (					UpperCAmelCase__  ):


   """simple docstring"""

   lowerCamelCase_							    =		version.parse('''1.11'''  )



   @property
   def 				lowerCAmelCase_     (       self   :      str       ):

      """simple docstring"""
      return OrderedDict(
          [
              ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ("pixel_mask", {0: "batch"}),
          ]       )



   @property
   def 				lowerCAmelCase_     (       self   :      Optional[int]       ):

      """simple docstring"""
      return 1e-5



   @property
   def 				lowerCAmelCase_     (       self   :      str       ):

      """simple docstring"""
      return 1_2







"""simple docstring"""




def        a__					(							snake_case__ = 50_00_00_00							)		->   int:
			lowerCamelCase      =   set()
			lowerCamelCase      =   int((limit - 24) ** (1 / 2)							)

			lowerCamelCase      =   set(range(3			,					prime_square_limit + 1			,					2							)							)
			primes.add(2							)
			for p in range(3			,					prime_square_limit + 1			,					2							):
						if p not in primes:
									continue
						primes.difference_update(set(range(p * p			,					prime_square_limit + 1			,					snake_case__							)							)							)

			for primea in primes:
						lowerCamelCase      =   primea * primea
						for primea in primes:
									lowerCamelCase      =   primea * primea * primea
									if square + cube >= limit - 16:
												break
									for primea in primes:
												lowerCamelCase      =   primea * primea * primea * primea
												lowerCamelCase      =   square + cube + tetr
												if total >= limit:
															break
												ret.add(snake_case__							)

			return len(snake_case__							)


if __name__ == "__main__":
					print(F"""{solution() = }""")



